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7d50804644
* Migrate regressions 1-1000 * Move serialize test to correct file * Remove tests that won't work in v3 * Migrate regressions 1000-1500 Removed regression test 1250 because v3 doesn't support the old LEX scheme anymore. * Add missing imports in serializer tests * Migrate tests 1500-2000 * Migrate regressions from 2000-2500 * Migrate regressions from 2501-3000 * Migrate regressions from 3000-3501 * Migrate regressions from 3501-4000 * Migrate regressions from 4001-4500 * Migrate regressions from 4501-5000 * Migrate regressions from 5001-5501 * Migrate regressions from 5501 to 7000 * Migrate regressions from 7001 to 8000 * Migrate remaining regression tests * Fixing missing imports * Update docs with new system [ci skip] * Update CONTRIBUTING.md - Fix formatting - Update wording * Remove lemmatizer tests in el lang * Move a few tests into the general tokenizer * Separate Doc and DocBin tests
107 lines
3.6 KiB
Python
107 lines
3.6 KiB
Python
import pytest
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import spacy
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from spacy.lang.en import English
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from spacy.tokens import Doc, DocBin
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from spacy.tokens.underscore import Underscore
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@pytest.mark.issue(4367)
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def test_issue4367():
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"""Test that docbin init goes well"""
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DocBin()
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DocBin(attrs=["LEMMA"])
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DocBin(attrs=["LEMMA", "ENT_IOB", "ENT_TYPE"])
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@pytest.mark.issue(4528)
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def test_issue4528(en_vocab):
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"""Test that user_data is correctly serialized in DocBin."""
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doc = Doc(en_vocab, words=["hello", "world"])
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doc.user_data["foo"] = "bar"
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# This is how extension attribute values are stored in the user data
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doc.user_data[("._.", "foo", None, None)] = "bar"
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doc_bin = DocBin(store_user_data=True)
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doc_bin.add(doc)
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doc_bin_bytes = doc_bin.to_bytes()
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new_doc_bin = DocBin(store_user_data=True).from_bytes(doc_bin_bytes)
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new_doc = list(new_doc_bin.get_docs(en_vocab))[0]
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assert new_doc.user_data["foo"] == "bar"
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assert new_doc.user_data[("._.", "foo", None, None)] == "bar"
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@pytest.mark.issue(5141)
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def test_issue5141(en_vocab):
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"""Ensure an empty DocBin does not crash on serialization"""
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doc_bin = DocBin(attrs=["DEP", "HEAD"])
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assert list(doc_bin.get_docs(en_vocab)) == []
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doc_bin_bytes = doc_bin.to_bytes()
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doc_bin_2 = DocBin().from_bytes(doc_bin_bytes)
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assert list(doc_bin_2.get_docs(en_vocab)) == []
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def test_serialize_doc_bin():
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doc_bin = DocBin(
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attrs=["LEMMA", "ENT_IOB", "ENT_TYPE", "NORM", "ENT_ID"], store_user_data=True
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)
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texts = ["Some text", "Lots of texts...", "..."]
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cats = {"A": 0.5}
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nlp = English()
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for doc in nlp.pipe(texts):
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doc.cats = cats
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doc.spans["start"] = [doc[0:2]]
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doc[0].norm_ = "UNUSUAL_TOKEN_NORM"
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doc[0].ent_id_ = "UNUSUAL_TOKEN_ENT_ID"
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doc_bin.add(doc)
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bytes_data = doc_bin.to_bytes()
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# Deserialize later, e.g. in a new process
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nlp = spacy.blank("en")
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doc_bin = DocBin().from_bytes(bytes_data)
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reloaded_docs = list(doc_bin.get_docs(nlp.vocab))
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for i, doc in enumerate(reloaded_docs):
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assert doc.text == texts[i]
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assert doc.cats == cats
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assert len(doc.spans) == 1
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assert doc[0].norm_ == "UNUSUAL_TOKEN_NORM"
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assert doc[0].ent_id_ == "UNUSUAL_TOKEN_ENT_ID"
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def test_serialize_doc_bin_unknown_spaces(en_vocab):
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doc1 = Doc(en_vocab, words=["that", "'s"])
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assert doc1.has_unknown_spaces
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assert doc1.text == "that 's "
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doc2 = Doc(en_vocab, words=["that", "'s"], spaces=[False, False])
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assert not doc2.has_unknown_spaces
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assert doc2.text == "that's"
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doc_bin = DocBin().from_bytes(DocBin(docs=[doc1, doc2]).to_bytes())
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re_doc1, re_doc2 = doc_bin.get_docs(en_vocab)
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assert re_doc1.has_unknown_spaces
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assert re_doc1.text == "that 's "
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assert not re_doc2.has_unknown_spaces
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assert re_doc2.text == "that's"
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@pytest.mark.parametrize(
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"writer_flag,reader_flag,reader_value",
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[
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(True, True, "bar"),
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(True, False, "bar"),
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(False, True, "nothing"),
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(False, False, "nothing"),
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],
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)
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def test_serialize_custom_extension(en_vocab, writer_flag, reader_flag, reader_value):
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"""Test that custom extensions are correctly serialized in DocBin."""
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Doc.set_extension("foo", default="nothing")
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doc = Doc(en_vocab, words=["hello", "world"])
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doc._.foo = "bar"
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doc_bin_1 = DocBin(store_user_data=writer_flag)
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doc_bin_1.add(doc)
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doc_bin_bytes = doc_bin_1.to_bytes()
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doc_bin_2 = DocBin(store_user_data=reader_flag).from_bytes(doc_bin_bytes)
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doc_2 = list(doc_bin_2.get_docs(en_vocab))[0]
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assert doc_2._.foo == reader_value
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Underscore.doc_extensions = {}
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